07/06/2026 updated
100 % available
Senior Full Stack AI Developer
Osaka, Japan
Only remote
Bachelor's degree equivalent from Singapore Institute of Technology (2015-2018)About me
I am a full stack and AI Engineer
OpenStackLarge Language ModelsGenerative AIFull Stack DevelopmentArtificial Intelligence Markup Language (AIML)
AI / ML Development
Expertise in building and fine-tuning large language models (LLMs) including Llama, Falcon, and GPT-based variants, as well as developing multimodal generative AI applications covering text, image, audio, and video. Proficiency with PyTorch, TensorFlow, ML pipelines, ModelOps, OpenAI, RAG, Chatbots, Text-to-image, Twilio, Vapi, and SMS/email automation.
Full-Stack Development
Strong command of modern full-stack technologies including React, Node.js, JavaScript/TypeScript, Python, Express, REST APIs, Go, SQL, C++, and C#. Proven ability to design and deliver scalable, high-performance web applications bridging AI technologies with robust backend and frontend solutions.
Mobile & Android Development
Solid experience in cross-platform and native mobile app development using Flutter, Dart, Kotlin, Android SDK, React Native, Firebase, and Google Play, enabling the delivery of intelligent mobile solutions across platforms.
MLOps & Cloud Infrastructure
Hands-on experience architecting scalable cloud-based ML pipelines with AWS, Apache Airflow, MLflow, Docker, GitHub Actions, and CI/CD workflows, ensuring reproducibility, traceability, and efficient model deployment cycles.
ETL Pipelines & Data Engineering
Experience collaborating with data engineering teams to develop robust ETL pipelines capable of processing terabyte-scale datasets using Spark and AWS Glue, ensuring consistent data quality and model reproducibility across environments.
DevOps & Containerization
Proficiency in deploying and containerizing ML models on AWS, transitioning from EC2 instances to Docker-based environments for improved reproducibility and scalability, using tools such as Git, Shell, Rust, and Haskell.
NLP & Predictive Analytics
Experience building NLP pipelines for automated reporting, recommendation components, and predictive analytics modules using PyTorch, TensorFlow, and Hugging Face Transformers, supporting retail and operational intelligence.
AI-Powered Communication Workflows
Building AI-powered communication workflows integrating SMS, email, and voice systems using APIs such as Twilio, Vapi, and Retell AI, enabling automated and intelligent customer interaction at scale.
Expertise in building and fine-tuning large language models (LLMs) including Llama, Falcon, and GPT-based variants, as well as developing multimodal generative AI applications covering text, image, audio, and video. Proficiency with PyTorch, TensorFlow, ML pipelines, ModelOps, OpenAI, RAG, Chatbots, Text-to-image, Twilio, Vapi, and SMS/email automation.
Full-Stack Development
Strong command of modern full-stack technologies including React, Node.js, JavaScript/TypeScript, Python, Express, REST APIs, Go, SQL, C++, and C#. Proven ability to design and deliver scalable, high-performance web applications bridging AI technologies with robust backend and frontend solutions.
Mobile & Android Development
Solid experience in cross-platform and native mobile app development using Flutter, Dart, Kotlin, Android SDK, React Native, Firebase, and Google Play, enabling the delivery of intelligent mobile solutions across platforms.
MLOps & Cloud Infrastructure
Hands-on experience architecting scalable cloud-based ML pipelines with AWS, Apache Airflow, MLflow, Docker, GitHub Actions, and CI/CD workflows, ensuring reproducibility, traceability, and efficient model deployment cycles.
ETL Pipelines & Data Engineering
Experience collaborating with data engineering teams to develop robust ETL pipelines capable of processing terabyte-scale datasets using Spark and AWS Glue, ensuring consistent data quality and model reproducibility across environments.
DevOps & Containerization
Proficiency in deploying and containerizing ML models on AWS, transitioning from EC2 instances to Docker-based environments for improved reproducibility and scalability, using tools such as Git, Shell, Rust, and Haskell.
NLP & Predictive Analytics
Experience building NLP pipelines for automated reporting, recommendation components, and predictive analytics modules using PyTorch, TensorFlow, and Hugging Face Transformers, supporting retail and operational intelligence.
AI-Powered Communication Workflows
Building AI-powered communication workflows integrating SMS, email, and voice systems using APIs such as Twilio, Vapi, and Retell AI, enabling automated and intelligent customer interaction at scale.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
EnglishNative speaker
Project history
Design and deliver custom AI solutions for startups and enterprises, covering the full lifecycle from problem definition to production deployment. Build and fine-tune LLM-based systems including chatbots, code assistants, and domain-specific knowledge agents. Develop multimodal generative AI applications with real-time performance constraints. Architect scalable cloud-based ML pipelines integrating training, inference, monitoring, and CI/CD. Build AI-powered communication workflows integrating SMS, email, and voice systems using APIs such as Twilio, Vapi, and Retell AI.
Fine-tuned large language models (Llama, Falcon, and GPT-based variants) for enterprise knowledge management, internal chatbots, and document summarization. Designed and implemented an MLOps framework with MLflow, Apache Airflow, and GitHub Actions, reducing the end-to-end model deployment cycle from approximately 2 weeks to 3 days. Led a cross-functional team of 5 junior developers and data scientists, providing code reviews, performance tuning guidance, and workshops on AI best practices and responsible AI considerations.
Architected and deployed multiple production AI applications using PyTorch, TensorFlow, and Hugging Face Transformers, including NLP pipelines for automated reporting, recommendation components, and predictive analytics modules supporting retail operations intelligence. Collaborated with data engineering teams to develop robust ETL pipelines using Spark and AWS Glue. Mentored junior developers through code reviews and performance optimization sessions.